Plan a Moon mission by using Python pandas

Beginner

Data Scientist

Developer

Student

Visual Studio Code

Like Fei Fei, use data to plan your own mission to the Moon. Ensure that your rocket can not only get you there, but also bring you and all your Moon rocks safely back to Earth.

Learning objectives

In this module, you will:

• Create a clear representation of data from many sources.
• Use Python and pandas to explore data.
• Use data cleansing techniques to get a clear representation of data.
• Hypothesize how much rock sample astronauts might bring back on the Artemis missions.

Tip

This module is part of a multimodal learning experience. Start the module to see how you can follow along!

Prerequisites

• Visual Studio Code, with the Python extension

• Introduction min
• Understand the significance of Moon rocks min
• Exercise - Get the rock sample data into Visual Studio Code min
• Exercise - Determine the question to ask to inform data cleansing min
• Exercise - Add rocket weight data to the mission analysis min
• Exercise - Understand the data in the missions DataFrame min
• Exercise - Predict Artemis sample capacity min
• Exercise - Prioritize Moon rock sample gathering based on data min
• Exercise - Develop a recommendation of Moon rock samples to be collected min
• Knowledge check min
• Summary min

Like Fei Fei, use data to plan your own mission to the Moon. Ensure that your rocket can not only get you there, but also bring you and all your Moon rocks safely back to Earth.

In this module, you will:

• Create a clear representation of data from many sources.
• Use Python and pandas to explore data.
• Use data cleansing techniques to get a clear representation of data.
• Hypothesize how much rock sample astronauts might bring back on the Artemis missions.

Tip

This module is part of a multimodal learning experience. Start the module to see how you can follow along!

Prerequisites

• Visual Studio Code, with the Python extension